Eunmi Ban
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Biological Psychiatry top 5%
Papers in
-
- RNA Interference and Gene Delivery 13
- Advanced biosensing and bioanalysis techniques 9
-
- MicroRNA in disease regulation 13
- Co-authors
- Eun Joo Song (19 shared papers)Aeri Kim (16 shared papers)Young Sook Yoo (19 shared papers)F. Haour (8 shared papers)G. Fillion (5 shared papers)Geneviève Milon (2 shared papers)N. Prudhomme (1 shared paper)Chong‐Kook Kim (14 shared papers)
- Journals
- Journal of Chromatography A (7 papers)Journal of Liquid Chromatography & Related Technologies (6 papers)Electrophoresis (5 papers)Analytical and Bioanalytical Chemistry (4 papers)Pharmaceutics (4 papers)
- Partner nations
- South KoreaFranceUnited States
In The Last Decade
Eunmi Ban
75 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Behavioral Neuroscience 130
- Biological Psychiatry 79
- Microbiology 21
- Neurology 218
- Rehabilitation 110
Countries citing papers authored by Eunmi Ban
This map shows the geographic impact of Eunmi Ban's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eunmi Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunmi Ban more than expected).
Fields of papers citing papers by Eunmi Ban
This network shows the impact of papers produced by Eunmi Ban. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eunmi Ban. The network helps show where Eunmi Ban may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunmi Ban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 227 | |
| 2 | 1992 | 179 | |
| 3 | 2019 | 91 | |
| 4 | 2017 | 67 | |
| 5 | 2019 | 59 | |
| 6 | 2019 | 55 | |
| 7 | 2017 | 52 | |
| 8 | 2018 | 47 | |
| 9 | 2022 | 47 | |
| 10 | 2013 | 45 | |
| 11 | 2018 | 44 | |
| 12 | 2022 | 42 | |
| 13 | 2015 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 1985 | 35 | |
| 16 | 2006 | 32 | |
| 17 | 1990 | 31 | |
| 18 | 2010 | 28 | |
| 19 | 2020 | 26 | |
| 20 | 2001 | 24 |
About Eunmi Ban
Eunmi Ban is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Spectroscopy and Endocrinology, Diabetes and Metabolism, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), MicroRNA in disease regulation (13 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), Analytical Chemistry and Chromatography (8 papers), Analytical Methods in Pharmaceuticals (7 papers), Wound Healing and Treatments (5 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Behavioral Neuroscience (130 citations), Biological Psychiatry (79 citations), Microbiology (21 citations), Neurology (218 citations) and Rehabilitation (110 citations). Eunmi Ban has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include Eun Joo Song, Aeri Kim, Young Sook Yoo, F. Haour, G. Fillion, Geneviève Milon, N. Prudhomme, Chong‐Kook Kim, Seonghee Jeong and Mijung Park. Their work appears in journals such as Journal of Chromatography A, Journal of Liquid Chromatography & Related Technologies, Electrophoresis, Analytical and Bioanalytical Chemistry and Pharmaceutics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.